I made a tool to receive alerts when answers change

Hacker News

Hi HN, I've created a tool called Alertfor that scours the open web to find the most relevant and up-to-date answers for complex questions. You can set up alerts to receive continuous updates whenever there are changes or new information becomes available for a given question. I used an agent framework (Autogen + Sibyl) to collect and answer questions, and I schedule a Celery job to run the same query continuously every six hours. I would love to hear your feedback, suggestions, or anything else you’d like to say. Note: I'm submitting this for a second time; I'm not sure if this is against HN policy.

Visit product View on Hacker NewsJul 28, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, new, open · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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